An Empirical Study on the Influence of Insurance Innovation to Corporate Violations Based on the Crawler Program by Python

Using the web crawler technology by Python and Stata's correlation, regression, and propensity score matching analysis methods, this paper employs a large sample of A-share listed companies from 2016 to 2020 in China. It explores the impact of directors' and officers' liability insurance on firms' violating behaviors. The empirical results show that as a vital insurance innovation in the Chinese capital market, this insurance can effectively inhibit enterprises' tendency to violate regulations and prevent violations from happening. This article contributes to the literature by enriching the research methods of applying advanced computer technology to the management engineering field, providing new avenues for corporate financial innovation and risk management, and expanding the application of data mining in the field of decision making and process optimization.